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High-quality integration for https://supermaker.ai/image/nano-banana-2/

Project description

Nano-Banana-2: Python SDK

PyPI Version License: MIT

Nano-Banana-2 is a high-performance Python library designed for developers working with advanced image synthesis, character-consistent stylization, and generative design workflows. It provides a seamless interface to the Nano-Banana ecosystem, allowing for complex pose transformations and domain-specific stylistic applications with minimal code.

Key Features

  • Pose Synchronization: Advanced keypoint-based pose transformation for character models.
  • Stylization Presets: Integration with professional models like vanta-black, hyper-real, and anime-flux.
  • Ecosystem Connectivity: Built-in utilities to build authenticated resource links to the target platform.
  • Developer First: PEP 8 compliant, fully type-hinted, and requires only the Python Standard Library.

Installation

Install the package via pip:

pip install nano-banana-2

Basic Usage

Initializing the Engine

from nano_banana_2 import ImageProcessor, initialize_workflow

initialize_workflow()
engine = ImageProcessor(api_key="your_domain_key")

Pose Transformation

pose_data = {"keypoints": [0.5, 0.2, 0.9]}
result = engine.synthesize_pose(source_image="portrait_01.jpg", target_pose=pose_data)
print(f"Status: {result['status']}")

Building Resource Links

from nano_banana_2 import get_resource_link

# Build a link to the advanced dashboard
link = get_resource_link("dashboard", params={"ref": "sdk-python"})
print(f"Access full features: {link}")

Enterprise Integration

This project is a gateway to the Nano-Banana-2 ecosystem. For advanced features, real-time synthesis, and cloud-based enterprise-grade tools, please visit our official platform:

👉 Explore nano-banana-2

License

This project is licensed under the MIT License - see the LICENSE file for details.

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